Radar Based Precipitation Forecast

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 2363

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Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czech Republic
Interests: precipitation; precipitation nowcasting; numerical weather prediction models; radar; lightning
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Dear Colleagues,

Precipitation associated with atmospheric convection as well as long-lasting stratiform precipitation may cause significant economic damage and endanger the health and lives of populations every year.

Heavy rainfall is a typical dangerous phenomenon, which leads to flash floods. It is often accompanied by lightning activity and characterized by fast development and local character. Another endangering phenomenon is long-lasting precipitation, which covers large areas that may result in large-scale flooding.

Prediction methods of these phenomena make use of various forecasting models—from those based on the extrapolation of the current state of the atmosphere to those sophisticated that use weather forecasting models to describe physical processes in the atmosphere. An important input to the prediction methods are data from meteorological radars. Operating meteorological radars provide us with information on the distribution of rainwater and other hydrometeors in the atmosphere, which is the key information to extrapolation methods. In addition, most radars also measure the Doppler velocity, which provides us with additional information on cloud movement. The information on both the distribution of hydrometeors and cloud movement are important input data for numerical forecasting.

Dr. Zbyněk Sokol
Guest Editor

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Keywords

  • meteorological radars
  • precipitation nowcasting
  • precipitation forecast
  • numerical weather prediction models
  • data assimilation
  • severe convective storm

Published Papers (1 paper)

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19 pages, 8467 KiB  
Case Report
Precipitation Characteristics of an Abrupt Heavy Rainfall Event over the Complex Terrain of Southwest China Observed by the FY-4A Satellite and Doppler Weather Radar
by Shanshan Li, Guoping Li, Xiaofang Wang, Chao Li, Haizhi Liu and Gang Li
Water 2020, 12(9), 2502; https://0-doi-org.brum.beds.ac.uk/10.3390/w12092502 - 08 Sep 2020
Cited by 6 | Viewed by 1995
Abstract
On 22 July 2019, mesoscale convective systems (MCSs) with an abrupt heavy rainfall event (AHRE) hit Shuicheng County of Guizhou Province in Southwest China causing landslide and debris flow secondary disasters. The AHRE over the complex terrain of Shuicheng County had differences in [...] Read more.
On 22 July 2019, mesoscale convective systems (MCSs) with an abrupt heavy rainfall event (AHRE) hit Shuicheng County of Guizhou Province in Southwest China causing landslide and debris flow secondary disasters. The AHRE over the complex terrain of Shuicheng County had differences in location and intensity during two stages of the event. The two stages could be divided into different rainfall types (topographic rainfall and synoptic-weather-related rainfall) according to the spatiotemporal distribution and organization of MCSs based on surface and midlevel environmental field conditions. During the topographic rainfall stage, smaller meso-γ-scale (2–20 km) convective cells with lower echo-top heights (6–10 km) occurred along the windward slope of the primary mountain peak. During the synoptic-weather-related rainfall stage, a meso-β-scale (20–200 km) convective echo band with higher echo-top heights (10–14 km) occurred in the valley of the region. An adverse wind area (AWA) with distinct convergence of radar radial velocity existed over Shuicheng County. A formation mechanism analysis of the AHRE showed that topographic rainfall occurred in the warm and moist area, while synoptic-weather-related rainfall occurred due to local convergence and the intrusion of a cold tongue. Compared to the early stage, the cold tongue from the higher terrain superimposed over the warm sector at the base of major mountain ranges appeared to strengthen the rainfall. Full article
(This article belongs to the Special Issue Radar Based Precipitation Forecast)
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